ImmutaProduct Research Internship - Summer 2027
Immuta is hiring a Product Research Internship - Summer 2027 for a remote role open to applicants in United States. It pays $25-$30/hr and Level rates it ; you can apply on Immuta.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks, Snowflake and AI agents.
- Level classifies it as an internship.
- Level lists 12 other open roles at Immuta.
AI in this role
Product research intern turning machine learning algorithms and theoretical research into practical product capabilities.
Immuta is the Data Authorization Company, helping the world’s largest organizations control who, and what, can access their data.
The way enterprises access data is fundamentally changing. Organizations are racing to put data to work across analytics and AI, while AI copilots and agents are emerging as an entirely new class of data consumer. Traditional approaches built around tickets, static permissions, and manual approvals were not designed for this speed, scale, or complexity.
Immuta provides the authorization layer for modern data and AI. Our platform enables organizations to provision governed access to data by policy, by request, and dynamically for AI agents, so people and AI can access the data they need while enterprises maintain security, compliance, and control.
For Chief Data Officers, that means making enterprise data dramatically easier to access and use without giving up governance. For AI leaders, it means giving AI agents secure, governed access to enterprise data so they can move from experimentation into production.
Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide.
- Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern data and AI environments.
- Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and Built In as one of the best workplaces, and by Fast Company as one of the world’s most innovative companies.
- Immuta has raised $263 million from investors including NightDragon, Snowflake, Databricks, ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
- We operate as a hybrid workplace with offices in Boston, MA; Columbus, OH; and College Park, MD.
ABOUT THE TEAM
The Product Research team sits at the intersection of theoretical computer science, applied mathematics, statistics, machine learning, and software engineering. The team turns research and algorithms into practical product capabilities that help organizations use data safely and effectively.
As a Product Research Intern, you’ll work with research scientists and collaborate with software engineers and other teammates. You’ll help explore how ideas developed in a controlled research setting can be tested, adapted, and applied in the messy, real-world environments where customers use Immuta. The work is research-oriented: you’ll go deep on a problem, understand how an approach works, and help move it from an idea into something practical.
How we rate this
Product Research Internship - Summer 2027 at Immuta rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where computer science was part of your work. What did you do?
- Tell me about a project where applied mathematics was part of your work. What did you do?
- Tell me about a project where research was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Machine learning, Computer Science, Applied Mathematics, and Research. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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